IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29032.html
   My bibliography  Save this paper

Heterogeneous Productivity Shocks, Elasticity of Substitution and Aggregate Fluctuations

Author

Listed:
  • Alessio, Moro
  • Rodolfo, Stucchi

Abstract

We use a Dixit-Stiglitz setting to show that aggregate productivity fluctuations can be generated through changes in the dispersion of firms' productivity. When the elasticity of substitution among goods is larger than one, an increase in the dispersion raises aggregate productivity because firms at the top of the distribution produce most of output. When the elasticity is smaller than one, an increase in the dispersion reduces aggregate productivity because firms at the bottom of the distribution use most of inputs. We use individual firm data from Spanish manufacturing sectors to test the relationship between the dispersion of firms' productivity and aggregate productivity. The estimated coefficients are consistent with the predictions of the model: we find that an increase in the coefficient of variation of firms productivity of 1% increases aggregate productivity by 0.59% in sectors with an elasticity of substitution larger than one while the same increase in the coefficient of variation reduces aggregate productivity by 0.07% in sectors with an elasticity of substitution smaller than one.

Suggested Citation

  • Alessio, Moro & Rodolfo, Stucchi, 2011. "Heterogeneous Productivity Shocks, Elasticity of Substitution and Aggregate Fluctuations," MPRA Paper 29032, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29032
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29032/1/MPRA_paper_29032.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Vasco Carvalho, 2007. "Aggregate fluctuations and the network structure of intersectoral trade," Economics Working Papers 1206, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2010.
    2. Christian Broda & David E. Weinstein, 2006. "Globalization and the Gains From Variety," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 541-585.
    3. Nezih Guner & Gustavo Ventura & Xu Yi, 2008. "Macroeconomic Implications of Size-Dependent Policies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 721-744, October.
    4. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    5. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    6. Stucchi, Rodolfo, 2008. "Catching up in total factor productivity through the business cycle : evidence from Spanish manufacturing surveys," UC3M Working papers. Economics we085125, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1181-1222, December.
    8. Diego Restuccia & Richard Rogerson, 2008. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 707-720, October.
    9. Bachmann, Ruediger & Bayer, Christian, 2009. "Firm-specific productivity risk over the business cycle: facts and aggregate implications," Discussion Paper Series 1: Economic Studies 2009,15, Deutsche Bundesbank.
    10. Matthias Kehrig, 2011. "The Cyclicality of Productivity Dispersion," 2011 Meeting Papers 484, Society for Economic Dynamics.
    11. Álvaro Escribano & Rodolfo Stucchi, 2014. "Does recession drive convergence in firms’ productivity? Evidence from Spanish manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 339-349, June.
    12. Harald Uhlig, 1996. "A law of large numbers for large economies (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(1), pages 41-50.
    13. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2014. "Consumption and Labor Supply with Partial Insurance: An Analytical Framework," American Economic Review, American Economic Association, vol. 104(7), pages 2075-2126, July.
    14. Dupor, Bill, 1999. "Aggregation and irrelevance in multi-sector models," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 391-409, April.
    15. Ulrich Doraszelski & Jordi Jaumandreu, 2013. "R&D and Productivity: Estimating Endogenous Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1338-1383.
    16. Rachel Griffith & Jonathan Haskel & Andy Neely, 2006. "Why is Productivity so Dispersed?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(4), pages 513-525, Winter.
    17. Michael Horvath, 1998. "Cyclicality and Sectoral Linkages: Aggregate Fluctuations from Independent Sectoral Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(4), pages 781-808, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. F. Cerina, 2015. "Is insularity a locational disadvantage? Insights from the New Economic Geography," Working Paper CRENoS 201521, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Charles I. Jones, 2011. "Misallocation, Economic Growth, and Input-Output Economics," NBER Working Papers 16742, National Bureau of Economic Research, Inc.
    2. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    3. Vasco M. Carvalho & Nico Voigtländer, 2014. "Input Diffusion and the Evolution of Production Networks," NBER Working Papers 20025, National Bureau of Economic Research, Inc.
    4. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    5. Camacho, Maximo & Leiva-Leon, Danilo, 2019. "The Propagation Of Industrial Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
    6. Kristina Barauskaite & Anh Dinh Minh Nguyen, 2021. "Direct and network effects of idiosyncratic TFP shocks," Empirical Economics, Springer, vol. 60(6), pages 2765-2793, June.
    7. Saki Bigio & Jennifer La’O, 2020. "Distortions in Production Networks," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2187-2253.
    8. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    9. Manoj Atolia & Ryan Chahrour, 2020. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 270-292, April.
    10. Lorenzo Burlon, 2012. "How Do Aggregate Fluctuations Depend on the Network Structure of the Economy?," Working Papers in Economics 278, Universitat de Barcelona. Espai de Recerca en Economia.
    11. Leonidov, Andrey & Serebryannikova, Ekaterina, 2019. "Dynamical topology of highly aggregated input–output networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 234-252.
    12. Semanur Soyyiğit & Yasemin Asu Çırpıcı, 2017. "An Input-Output Network Structure Analysis Of Selected Countries," Yildiz Social Science Review, Yildiz Technical University, vol. 3(2), pages 65-88.
    13. Lenzu, Simone & Manaresi, Francesco, 2018. "Do Marginal Products Differ from User Costs? Micro-Level Evidence from Italian Firms," Working Papers 276, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    14. Saki Bigio, 2013. "Financial Frictions in Production Networks," 2013 Meeting Papers 121, Society for Economic Dynamics.
    15. Tian, Can, 2021. "Input-output linkages in Pigouvian industrial fluctuations," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 1078-1095.
    16. Charles I. Jones, 2008. "Intermediate Goods, Weak Links, and Superstars: A Theory of Economic Development," NBER Working Papers 13834, National Bureau of Economic Research, Inc.
    17. Ryan Chahrour & Manoj Atolia, 2015. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics in a Neoclassical Model," 2015 Meeting Papers 398, Society for Economic Dynamics.
    18. Anthonisen, Niels, 2016. "Microeconomic shocks and macroeconomic fluctuations in a dynamic network economy," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 233-254.
    19. Pedro P Romero & Ricardo López & Carlos Jiménez, 2018. "Sectoral networks and macroeconomic tail risks in an emerging economy," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-17, January.
    20. Simone Lenzu & Francesco Manaresi, 2019. "Sources and implications of resource misallocation: new evidence from firm-level marginal products and user costs," Questioni di Economia e Finanza (Occasional Papers) 485, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    Keywords

    Heterogeneous Productivity Shocks; Elasticity of Substitution; Volatility; Aggregate Productivity.;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:29032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.